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Call for papers: Detecting Structure in Scholarly Discourse, DSSD2012, ACL 2012

From: Waard, Anita de A (ELS-NYC) <A.dewaard@elsevier.com>
Date: Mon, 6 Feb 2012 13:28:20 +0100
Message-ID: <994C62F4D342094CB0A2A3431B8ED8500B65DEAA@ELSAMSEXCP02VA.science.regn.net>
To: "Nigam Shah" <nigam@stanford.edu>, <gofriends@genome.stanford.edu>, <biopax-discuss@cbio.mskcc.org>, <bfo-discuss@googlegroups.com>, <kr-sig@mailman.amia.org>, <isb@listserv.it.northwestern.edu>, <obo-format@lists.sourceforge.net>, <ncbo-everyone@lists.stanford.edu>, <nlp-sig@mailman.amia.org>, <protege-discussion@lists.stanford.edu>, <public-semweb-lifesci@w3.org>, <bmir-everybody@lists.stanford.edu>, <bmi-students@lists.stanford.edu>, <supd-members@mailman.stanford.edu>, <sbgn-discuss@caltech.edu>, <obo-phenotype@lists.sourceforge.net>
Apologies for cross-postings,

Anita de Waard
Disruptive Technologies Director, Elsevier Labs
http://elsatglabs.com/labs/anita/
a.dewaard@elsevier.com

***************************************************
SECOND CALL FOR PAPERS
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ACL 2012 Workshop on

Detecting Structure in Scholarly Discourse, DSSD2012

Web: http://www.nactem.ac.uk/dssd/index.php
***************************************************
July 12, 2012
International Convention Center, Jeju Island
Republic of Korea
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Submission deadline: March 11, 2012
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The detection of discourse structure in scientific documents is
important for a number of tasks, including biocuration efforts, text
summarization, error correction, information extraction and the creation
of enriched formats for scientific publishing. Currently, many parallel
efforts exist to detect a range of discourse elements at different
levels of granularity and for different purposes. Discourse elements
detected include the statement of facts, claims and hypotheses, the
identification of methods and protocols, and as the differentiation
between new and existing work. In medical texts, efforts are underway to
automatically identify prescription and treatment guidelines, patient
characteristics, and to annotate research data. Ambitious long-term
goals include the modeling of argumentation and rhetorical structure and
more recently narrative structure, by recognizing 'motifs' inspired by
folktale analysis.

A rich variety of feature classes is used to identify discourse
elements, including verb tense/mood/voice, semantic verb class,
speculative language or negation, various classes of stance markers,
text-structural components, or the location of references. These
features are motivated by linguistic inquiry into the detection of
subjectivity, opinion, entailment, inference, but also author stance and
author disagreement, motif and focus.

The goal of the 2012 workshop "Detecting Structure in Scholarly
Discourse" is to discuss and compare the techniques and principles
applied in these various approaches, to consider ways in which they can
complement each other, and to initiate collaborations to develop
standards for annotating appropriate levels of discourse, with enhanced
accuracy and usefulness.

We are inviting submissions of long papers describing original research
work that span the range from theory to application, including research
on and the practice of manual and automated annotation systems, and
discuss questions like the following:
. What correlations can be demonstrated among document structure,
argumentation and rhetorical functions?
. What are the text linguistic and philosophical motivations
underpinning current efforts to identify discourse structure? Are the
assumptions made by current text processing tools supported by discourse
linguistic research; are there unused opportunities for fruitful
cross-fertilization?
. Can we port parallel efforts from neighboring fields, such as motifs
in folktale research, to annotate and detect narrative structures?
. Which discourse annotation schemes are the most portable? Can they be
applied to both full papers and abstracts? Can they be applied to texts
in different domains and different genres (research papers, reviews,
patents, etc)?
. How can we compare annotations, and how can we decide which features,
approaches or techniques work best? What are the most topical use cases?
How can we evaluate performance and what are the most appropriate tasks?
. What corpora are currently available for comparing and contrasting
discourse annotation, and how can we improve and increase these?
. How applicable are discourse annotation efforts for improving methods
of publishing, detecting and correcting authors' errors at the discourse
level, or summarizing scholarly text? How close are we to implementing
them at a production scale?

Important Dates

March 11, 2012 submission deadline
April 15, 2012 notification of acceptance
April 30, 2012 camera-ready paper
July 12, 2012 workshop

Submission guidelines:

Please use ACL style files listed in http://www.acl2012.org/call/sub01.asp
Authors are requested to submit their abstracts at:
https://www.softconf.com/acl2012/dssd2012/

Proceedings:
The accepted papers will be published in the DSSD2012 Workshop Proceedings

Organizing Committee:

Sophia Ananiadou, National Centre for Text Mining and University of Manchester
Antal van den Bosch, Radboud University Nijmegen
Ágnes Sándor, Xerox Research Europe, Grenoble
Hagit Shatkay, University of Delaware
Anita de Waard, Elsevier Labs/Utrecht University

Programme Committee:

Catherine Blake, University of Illinois at Urbana-Champaign, USA
Kevin Cohen, University of Colorado, School of Medicine, USA
Nigel Collier, National Institute of Informatics, Japan
Walter Daelemans, University of Antwerp, Belgium
Robert Dale, Macquarie University, Australia
Kjersti Fløttum, University of Bergen, Norway
Rocana Girju, University of Illinois at Urbana-Champaign, USA
Lynette Hirschman, MITRE, USA
Halil Kilicoglu, Concordia University, Canada
Jin-Dong Kim, The University Of Tokyo, Japan
Anna Korhonen, Cambridge University, UK
Maria Liakata, Aberystwyth University, UK
Roser Morante, University of Antwerp, Belgium
Raheel Nawaz, University of Manchester, UK
Dragomir Radev, University of Michigan, USA
Dietrich Rebholz-Schuhmann, EBI, UK
Andrey Rzhetsky, University of Chicago, USA
Caroline Sporleder, Saarland University, Germany
Padmini Srinivasan, University of Iowa, USA
Simone Teufel, University of Cambridge, UK
Paul Thompson, University of Manchester, UK
Jun'ichi Tsujii, Microsoft Research Asia, China
Lucy Vanderwende, Microsoft Research, USA


Contact:
Anita de Waard
Disruptive Technologies Director, Elsevier Labs
http://elsatglabs.com/labs/anita/
a.dewaard@elsevier.com
Elsevier B.V. Registered Office: Radarweg 29, 1043 NX Amsterdam, The Netherlands, Registration No. 33156677 (The Netherlands)

Received on Monday, 6 February 2012 12:51:24 UTC

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